OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning V. Moschopoulos Pantelis Kyriakidis A. Lazaridis I. Vlahavas 31 0 0 25 May 2023
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees Sharan Vaswani A. Kazemi Reza Babanezhad Nicolas Le Roux OffRL 83 4 0 24 May 2023
Neural Lyapunov and Optimal Control Daniel Layeghi Steve Tonneau M. Mistry 61 0 0 24 May 2023
Adaptive Policy Learning to Additional Tasks Wenjian Hao Zehui Lu Zihao Liang Tianyu Zhou Shaoshuai Mou 57 0 0 24 May 2023
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games Ruoyao Wang Graham Todd Xingdi Yuan Ziang Xiao Marc-Alexandre Côté Peter Alexander Jansen LRM 74 14 0 24 May 2023
Inverse Reinforcement Learning with the Average Reward Criterion Feiyang Wu Jingyang Ke Anqi Wu 85 11 0 24 May 2023
Constrained Reinforcement Learning for Dynamic Material Handling Chengpeng Hu Ziming Wang Jialin Liu J. Wen Bifei Mao Xinghu Yao 117 1 0 23 May 2023
XRoute Environment: A Novel Reinforcement Learning Environment for Routing Zhanwen Zhou H. Zhuo Xiaowu Zhang Qiyuan Deng 27 0 0 23 May 2023
Strategy Extraction in Single-Agent Games Archana Vadakattu Michelle L. Blom A. Pearce 64 1 0 22 May 2023
Client Selection for Federated Policy Optimization with Environment Heterogeneity Zhijie Xie S. H. Song 61 4 0 18 May 2023
Model-Free Robust Average-Reward Reinforcement Learning Yue Wang Alvaro Velasquez George Atia Ashley Prater-Bennette Shaofeng Zou 70 15 0 17 May 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 72 3 0 17 May 2023
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning J. Collins Mark Robson Jun Yamada Mohan Sridharan Karol Janik Ingmar Posner 97 15 0 16 May 2023
Trojan Playground: A Reinforcement Learning Framework for Hardware Trojan Insertion and Detection Amin Sarihi Ahmad Patooghy Peter Jamieson Abdel-Hameed A. Badawy 68 9 0 16 May 2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions Xi Yang Ge Gao Min Chi OffRL 78 2 0 15 May 2023
Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks Shahaf Yamin Haim Permuter 75 3 0 12 May 2023
On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm Ukjo Hwang Songnam Hong 47 1 0 11 May 2023
HoneyIoT: Adaptive High-Interaction Honeypot for IoT Devices Through Reinforcement Learning Chong Guan Heting Liu Guohong Cao Sencun Zhu T. L. La Porta 34 7 0 10 May 2023
Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization Homayoon Farrahi Rupam Mahmood 68 5 0 09 May 2023
Provable Preimage Under-Approximation for Neural Networks (Full Version) Xiyue Zhang Benjie Wang Marta Z. Kwiatkowska AAML 71 9 0 05 May 2023
Maximum Causal Entropy Inverse Constrained Reinforcement Learning Mattijs Baert Pietro Mazzaglia Sam Leroux Pieter Simoens CML 115 10 0 04 May 2023
Explainable Reinforcement Learning via a Causal World Model Zhongwei Yu Jingqing Ruan Dengpeng Xing CML 102 16 0 04 May 2023
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees Daqian Shao Marta Kwiatkowska OffRL 94 10 0 02 May 2023
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation Guoliang He Sean Parker Eiko Yoneki 54 4 0 28 Apr 2023
Robust Stackelberg Equilibria Jiarui Gan Minbiao Han Jibang Wu Haifeng Xu 75 10 0 28 Apr 2023
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading Maniraman Periyasamy Marc Hölle Marco Wiedmann Daniel D. Scherer Axel Plinge Christopher Mutschler OffRL 102 6 0 27 Apr 2023
Learning Environment for the Air Domain (LEAD) Andreas Strand Patrick Ribu Gorton M. Asprusten K. Brathen 66 2 0 27 Apr 2023
A Control-Centric Benchmark for Video Prediction Stephen Tian Chelsea Finn Jiajun Wu 141 13 0 26 Apr 2023
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing Philipp Altmann Fabian Ritz Leonard Feuchtinger Jonas Nusslein Claudia Linnhoff-Popien Thomy Phan OOD OffRL 81 5 0 26 Apr 2023
Games for Artificial Intelligence Research: A Review and Perspectives Chengpeng Hu Yunlong Zhao Ziqi Wang Haocheng Du Jialin Liu AI4CE 85 13 0 26 Apr 2023
Dynamic Datasets and Market Environments for Financial Reinforcement Learning Xiao-Yang Liu Ziyi Xia Hongyang Yang Jiechao Gao Daochen Zha Ming Zhu Chris Wang Zhaoran Wang Jian Guo OffRL 80 30 0 25 Apr 2023
Model Extraction Attacks Against Reinforcement Learning Based Controllers Momina Sajid Yanning Shen Yasser Shoukry OffRL MIACV AAML 41 0 0 25 Apr 2023
Fulfilling Formal Specifications ASAP by Model-free Reinforcement Learning Mengyu Liu Pengyuan Lu Xin Chen Fanxin Kong O. Sokolsky Insup Lee 54 3 0 25 Apr 2023
Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications J. Viquerat E. Hachem 54 3 0 24 Apr 2023
System III: Learning with Domain Knowledge for Safety Constraints Fazl Barez Hosien Hasanbieg Alesandro Abbate 68 4 0 23 Apr 2023
AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning Shathushan Sivashangaran Apoorva Khairnar A. Eskandarian 56 7 0 22 Apr 2023
Self-Supervised Adversarial Imitation Learning Juarez Monteiro Nathan Gavenski Felipe Meneguzzi Rodrigo C. Barros SSL 47 1 0 21 Apr 2023
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards Shanchuan Wan Yujin Tang Yingtao Tian Tomoyuki Kaneko OffRL 56 4 0 21 Apr 2023
Interactive System-wise Anomaly Detection Guanchu Wang Ninghao Liu Daochen Zha Helen Zhou AAML 41 1 0 21 Apr 2023
TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning F. Capuano D. Peceli Gabriele Tiboni Raffaello Camoriano Bedvrich Rus 26 1 0 20 Apr 2023
Topological Guided Actor-Critic Modular Learning of Continuous Systems with Temporal Objectives Lening Li Zhentian Qian 69 0 0 20 Apr 2023
Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive Imitation Edgardo Solano-Carrillo Jannis Stoppe 46 0 0 19 Apr 2023
Quantum deep Q learning with distributed prioritized experience replay Samuel Yen-Chi Chen BDL 80 7 0 19 Apr 2023
Evolving Constrained Reinforcement Learning Policy Chengpeng Hu Jiyuan Pei Jialin Liu Xinghu Yao 55 2 0 19 Apr 2023
An adaptive safety layer with hard constraints for safe reinforcement learning in multi-energy management systems Glenn Ceusters M. A. Putratama R. Franke Ann Nowé M. Messagie 51 4 0 18 Apr 2023
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints Kazumi Kasaura Shuwa Miura Tadashi Kozuno Ryo Yonetani Kenta Hoshino Y. Hosoe 75 14 0 18 Apr 2023
Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning Bryan C. Brandt P. Dasgupta 61 1 0 14 Apr 2023
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers K. Chang Nathan Dahlin Rahul Jain Pierluigi Nuzzo OffRL 30 0 0 11 Apr 2023
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding Zhaolin Ren Tongzheng Ren Haitong Ma Na Li Bo Dai 107 10 0 08 Apr 2023
ShakingBot: Dynamic Manipulation for Bagging Ningquan Gu Zhizhong Zhang R. He Lianqing Yu 74 5 0 07 Apr 2023